1. Data integration: Moss integrates the medical data of various medical institutions in Shenzhen, including patient basic information, case diagnosis, drug treatment plan and other data, which greatly improves the service quality for community doctors and patients.
2. Data analysis: Moss uses machine learning algorithm to analyze and predict the data, so as to discover the law of illness, prevent diseases in time and carry out targeted treatment.
3. Intelligent decision-making: Moss combines artificial intelligence technology to provide personalized diagnosis and treatment advice for doctors and assist doctors to formulate the best treatment plan.
4. Participation of the whole people: Moss encourages all sectors of society to actively participate in public medical affairs through open interfaces and public participation. At the same time, through online and offline channels, publicize and guide residents how to enjoy community medical services and improve the health level of all residents in the community.
Generally speaking, Moss, as an open community health service model, has promoted the construction of community medical system through technical means such as data integration, data analysis, intelligent decision-making, and national participation, and also provided some useful references for the construction of community medical system in other cities.
Fudan team model Moss
Fudan University Science and Technology and Innovation Center published a research paper and code open source project entitled "Moss: an open community health service model based on big data and machine learning". Moss is an open community health service model, which aims to improve medical efficiency and reduce medical costs.
Generally speaking, Moss has promoted the construction of community medical system through technical means such as data integration, data analysis, intelligent decision-making and national participation. Through this open, intelligent and cloud-based model, Moss has gradually improved the ecosystem of community health services and promoted the development and progress of public health.